The Africa Research In Sustainable Intensification for the Next Generation (Africa RISING) program comprises three research-for-development projects supported by the United States Agency for International Development as part of the U.S. government’s Feed the Future initiative.
The workshop was attended by over 50 people including partners from CGIAR centres, Regional Research Institutes and Centres, Universities, woredas and kebeles working with Africa RISING. The workshop discussed the use of different approaches, methods and tools for the efficient and
sustained functioning of innovation platforms (IPs) that could improve research and subsequent scaling up of suitable technologies and value chains to improve livelihoods.
The presentation is for the ILRI Innovation Platform (IP) Training Workshop. At the end of this session participants will be able to: Capture basic concepts in IP monitoring and evaluation; Comprehend why it is important to monitor and evaluate IPs; Contribute to fine-tuning of Africa RISING IP monitoring and evaluation framework; Identify IP TG members championing the M&E work at the research sites.
This document has as objectives characterizing the promising technological innovations developed for rice, soybean, small ruminant and poultry sectors.
The objective of this study was to analyse the economic and environmental impacts of the adoption of climate change adaptation strategies on farm management in Benin. The data were collected from 371 producers. Descriptive statistics, pie charts and histograms were used to represent and characterise the different adaptation strategies depending on the climatic risks experienced on the farms surveyed. The flora analysis tool EX-ACT developed by FAO allowed to evaluate greenhouse gas at farm level depending on the adaptation strategies used.
This study was set out to describe the operation of the agricultural multi-stakeholder platforms and assess the impact of their activities on the production and revenue of the different beneficiaries. The required data was collected from 285 stakeholders using structured questionnaires. The econometric approach based on the Local Average Treatment effect (LATE) was used to identify the impact of the participation in the MSP activities on the revenue and yield of the producers